54 applicants

Company

Flex · 2 days ago

Staff Machine Learning Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$209K/yr - $225K/yr

6+ years exp

Maximize your interview chances

AppsBilling

H1B Sponsor Likely

Insider Connection @Flex

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance in a production environment.

Build, maintain, and optimize robust data pipelines that support model development, training, and deployment at scale.

Implement machine learning algorithms and models that meet performance, scalability, and reliability requirements in a production setting.

Collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems that address business and product needs.

Continuously monitor and improve model performance, conducting experiments, tuning hyperparameters, and ensuring models meet business objectives.

Leverage distributed computing frameworks and cloud-based platforms to process large-scale datasets efficiently.

Stay up-to-date with the latest advancements in machine learning, software engineering practices, and deployment strategies to keep our systems cutting-edge.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning EngineeringPythonEnd-to-end ML PipelinesTensorFlowPyTorchScikit-learnAWSGCPAzureSparkKubernetesModel OptimizationCI/CD Practices

Required

Master’s or Ph.D. in Computer Science, Engineering, or a related field.

6+ years of experience as a Machine Learning Engineer, with expertise in building and deploying machine learning models in production environments.

Strong proficiency in Python, or similar programming languages, and experience with ML libraries like TensorFlow, PyTorch, and scikit-learn.

Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes).

Proven track record of implementing end-to-end machine learning pipelines, from data preprocessing to production deployment and monitoring.

Strong background in model optimization, version control, and CI/CD practices for machine learning.

Excellent problem-solving abilities and the capacity to collaborate with cross-functional teams to deliver high-quality, production-ready systems.

Benefits

100% company-paid medical, dental, and vision

401(k) + company equity

Unlimited paid time off with a PTO minimum + 13 company paid holidays

Parental leave

Flex Cares Program: Non-profit company match + pet adoption coverage

Free Flex subscription

Company

Flex

Glassdoor

3.9

Flex enables people to pay bills on a schedule that fits their personal finances.

Founded in 2019

New York, New York, USA

201-500 employees

https://getflex.com

H1B Sponsorship

Flex has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (2)

2022 (11)

2021 (3)

2020 (2)